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Last Updated: Sep 07, 2026
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How to Prepare For Data Quality 10 Developer, Professional Certification
Preparation Guide for Data Quality 10 Developer, Professional Certification
Introduction for Data Quality 10 Developer, Professional Certification
This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.
The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.
This is recommended for students seeking certification as a Data Quality Developer Certified Professional.
The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):
- Data Quality: Advanced Techniques
- Informatica Analyst
- Data Quality: Data Quality Management for Developers
We prepare INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams to prepare you for all these requirements.
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How much Data Quality 10 Developer, Professional Certification Cost
The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Parameters | 5% | - Runtime Configuration
|
| Matching | 10% | - Match Logic
|
| Object Import and Export | 5% | - Metadata Management
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Address Validation | 5% | - Address Validation Transformation
|
| Content | 10% | - Prebuilt Content Usage
|
| Data Profiling | 15% | - Profiling Methods
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
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